Freightos (CRGO) Return on Sales [ROS] (2022 - 2026)
Freightos' Return on Sales [ROS] came in at -46.11% for Q2 2026, up 14.58 percentage points from -60.69% a year earlier and up 40.91 percentage points from the prior quarter.
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Analysis
Freightos (CRGO) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Freightos reported Return on Sales [ROS] of -63.82%, up 15.03 percentage points year-over-year; for FY2025, it came in at -65.02%, up 31.45 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +98.73 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -96.48% in FY2024 (+287.13 pp), -383.61% in FY2023 (-256.43 pp), -127.18% in FY2022 (+19.88 pp) and -147.05% in FY2021 (+16.70 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2022.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +25.54 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 1099.33 percentage points), and the weakest in Q1 2023 (a drop of 1106.46 percentage points).
- Business Quant data shows CRGO's Return on Sales [ROS] at -87.02% (Q1 2026), -75.60% (Q4 2025) and -56.54% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.47 Bn | 21.72 Bn | 695.95 Mn | 29.64% |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn | 14.69% |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn | 0.96% |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn | - |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn | 8.33% |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn | 26.45% |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn | 7.83% |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn | 29.09% |
| 10 | Freightos | 39.05 Mn | -64.36 Mn | 5.20 Mn | -46.11% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -46.11% |
| Mar 31, 2026 | -87.02% |
| Dec 31, 2025 | -75.94% |
| Sep 30, 2025 | -56.54% |
| Jun 30, 2025 | -60.69% |
| Mar 31, 2025 | -67.40% |
| Dec 31, 2024 | -122.01% |
| Sep 30, 2024 | -78.61% |
| Jun 30, 2024 | -80.66% |
| Mar 31, 2024 | -102.41% |
| Dec 31, 2023 | -88.28% |
| Sep 30, 2023 | -181.95% |
| Jun 30, 2023 | -115.96% |
| Mar 31, 2023 | -1,201.74% |
| Dec 31, 2022 | -183.42% |
| Sep 30, 2022 | -113.67% |
| Jun 30, 2022 | -113.72% |
| Mar 31, 2022 | -95.28% |
API Access
Freightos Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=CRGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CRGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=CRGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();